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This study aims to investigate how relational capital derived by the buyer and supplier from the buyer-LSP and supplier-LSP dyads affects buyer-supplier adaptability and their relational performance.

Drawing upon the tenets of Social Capital Theory and Relational View, the authors performed exploratory research using a survey of 350 supply chain triads. Based on these data, the authors used Structural Equation Modeling to estimate the Higher Component Model (HCM) and test the research hypotheses.

The research results indicate that relational capital derived by the supplier from the supplier-LSP dyad has a strong and positive impact on buyer-supplier adaptability. On the other hand, relational capital derived by the buyer from the buyer-LSP dyad has no significant impact on buyer-supplier adaptability. The results also demonstrate that the effect of buyer-supplier adaptability on buyer-supplier relational performance is strong and positive. The obtained findings also suggest that buyer-supplier adaptability acts as a partial mediator between relational capital derived by buyer/supplier from the links with LSP and relational performance.

The study has some limitations that guide directions for future research. First, along with relational capital, it might be worthwhile to also investigate the impact of structural and cognitive capital in supply chain triads to test whether and how these two dimensions of social capital contribute to buyer-supplier adaptability. It could be also interesting to include the LSP’s perception of relational capital in the model to shift the analysis from the organizational to the interorganizational level.

Given the increasing interest in complex structures of supply chains, this study investigates how one dyad affects other dyads in supply chain triads. Specifically, the study develops and empirically tests the construct of relational capital derived from the links with LSPs, and views adaptability as the result of two interacting parties.

The study seeks to explore the effect of socialization mechanisms on relational embeddedness of logistics service providers (LSP), and relational performance of dyads, and finally their resulting effect on the supply chain performance in transitive triads.

To elaborate on the major constructs of the study, the researchers use the theoretical lens specifically provided by social capital theory (SCT), and relational view (RV). Consequently, the researchers use SCT to examine the role of the socialization process, used by the supplier and customer, to develop relational embeddedness of logistics service providers in triads. Next, the researchers use the RV, complemented by the underpinnings of supply chain practice view (SCPV) to elaborate on the relational performance of dyads and supply chain performance. The study uses partial least squares structural equation modeling (PLS-SEM) to estimate the higher component model (HCM) and test the research hypotheses.

The results obtained from a sample of 350 transitive triads suggest that relational embeddedness of LSPs is only shaped by the mechanisms of formal socialization, developed by the supplier and customer. Interestingly, informal socialization appears to be insignificant for this process. The results indicate that relational embeddedness of logistics service providers has a positive effect on the relational performance of three dyads, which in turn, has a positive effect on the supply chain performance in transitive triads.

One of the intriguing avenues of future research is to investigate the dynamics of supply chains. It would be also worthwhile to make use of the specificity of transitive triads, formed by the supplier, customer and LSP, to explore whether and under which circumstances (e.g. reciprocity, symmetry) the strong ties encourage the transfer and integration of knowledge among actors, and the weak ties accelerate the search for information. In connection with that, the other interesting research avenue would be to investigate the information benefits derived from the nonredundant triads.

Although there is a number of recent studies that show empirical evidence for developing relational embeddedness in transitive triads, to date, little research interest has been paid to how relational embeddedness of LSPs is shaped within the supply chain structures, and how it finally affects the supply chain performance.

Third-party logistics providers (3PLs) have significantly evolved during the last decades, yet their role within a supply chain triad has been overlooked; this study examines empirically the 3PLs' role using four established theories: resource-based view, social capital perspective, agency theory and transaction cost economics.

This study examines the role of 3PLs in four supply chain triads, using the case study approach. Sources of evidence include interviews and secondary data.

The 3PL had different roles in multi-demand triads as service developer, customer adaptor and customer developer. The 3PL, by offering advanced services, became a service developer. The 3PL as a customer adaptor offered customised services and gain the client's trust. As a customer developer, the 3PL acted on behalf of its client in expanding its operations and meeting competitive needs.

The results of the case study methodology can only be generalised to similar types of 3PL. Supply chain triads are an emerging research field; theories like the resource-based view and transaction cost economics are established in the dyadic context and require further elaboration when applied in triadic contexts.

The findings provide practical insights into the role that 3PL can play in supply chain triads, how they can upgrade their role by long-range planning and extending their services to create supply chain efficiency.

Understanding the 3PL's role in triads can improve how companies and economies respond to crises like the recent pandemic outbreak.

It uncovers three different 3PL roles in supply chain triads by using four established theories.

This study considers transitive service triads, which consist of three dyads formed by three actors: supplier, logistics service provider and customer, who remain directly linked by one or more of the upstream and downstream flows of products, information and finances. This paper aims to explore the link between information governance, decentralized information technologies and supply chain self-organization, and their resulting impact on network performance in the transitive service triads.

Drawing upon the tenets of the theory of complex adaptive systems and supply chain practice view, this paper involves an empirical investigation that uses survey data gathered from transitive service triads in the European countries. The study uses partial least squares structural equation modeling to estimate the formative-reflective hierarchical component model and test the research hypotheses.

Information governance defines how supply chain information flows are controlled, accessed and used by a focal organization and its business partners. As empirically evidenced in this study, it can be depicted as a latent construct consisting of three distinct dimensions of information custody, information ownership and right to data access. Likewise, the study also indicates that supply chain self-organization, as a second-order construct, consists of three interactive self-organization actions undertaken by specific firms participating in the triadic arrangement. Supply chain self-organization is thus produced by firms that are reciprocally interrelated and interacting, having effects on one another. Furthermore, the study also highlights that information governance creates an environment for applying decentralized information technologies, which then positively affects supply chain self-organization. Finally, the research also empirically operationalizes the construct of network performance within the transitive service triads.

Although the results provide several major contributions to theory and implications for practitioners, the study still demonstrates some methodological constraints. Specifically, although the study uses a relatively large research sample of 350 transitive service triads, it still focuses only on a selected group of industries and is limited to investigating solely a particular type of service triads.

Given the increasing interest in investigating triads, this study examines how information governance and decentralized information technologies support supply chain self-organization to yield network performance in transitive service triads.

This research aims to examine the influence of Chief Executive Officer (CEO) dark triad traits, follower COVID-19 anxiety and self-leadership on follower evaluations of the effectiveness of organizations’ response to the COVID-19 pandemic crisis.

In this paper data were collected over two time periods. At time 1, mid-October 2021, 650 participants responded to questions on their CEO’s leadership traits and self-leadership. At time 2, (3-week lag) 275 matched individual responses provided followers’ evaluations of the effectiveness of the organization’s COVID-19 response and follower self-leadership.

CEO dark triad traits had direct and indirect negative effects on followers’ evaluations of the organization’s COVID-19 response (through COVID-19 anxiety). Follower self-leadership mitigated the negative effects.

By examining the moderating role of self-leadership, we can offer organizations evidence-based strategies to mitigate some harmful effects of leaders exhibiting dark triad traits.

Given that organizations are still dealing with the ongoing ramifications of COVID-19 and planning for future crises, our findings emphasize the negative effects of dark traits on COVID-19 anxiety, and in turn, on follower’s evaluation of effective organization response to a crisis, highlighting the importance of top-level leader selection.

Our results bolster Manz’s (1986) argument that self-leadership might be key to achieving peak performance in organizations and important for follower well-being.

This study of dark traits is especially important in a crisis context to understand how leaders affect followers’ perceptions about organizational outcomes and factors that might mediate or moderate the negative impact. Despite interest in understanding leadership during a crisis, the majority of research is focused on positive traits of leaders (Palmer et al., 2020).

The human service triad (i.e. the relationship between the customer, frontline employee (FLE) and managerial employee) experiences a range of well-being challenges when faced with the introduction of service robots. Despite growth in service robot scholarship, understanding of the well-being challenges affecting the human service triad remains fragmented. Hence, the purpose of this paper is to synthesise the literature and offer a research agenda aligned with the proposed Robotic-Human Service Trilemma. By taking a job performance approach (which considers the actions, behaviours and outcomes linked to organisational goals), the Robotic-Human Service Trilemma conceptualises three well-being challenges (intrusion, sideline and interchange). These challenges are realised via the realistic capabilities and constraints of service robot implementation.

This research relies on a systematic review of all disciplines concerning service robots. In total, 82 articles were analysed using thematic coding and led to the development of the Robotic-Human Service Trilemma and research agenda.

The analyses reveal the Robotic-Human Service Trilemma consists of three challenges: intrusion, sideline and indifference. The findings demonstrate that FLEs are required to counterbalance the constraints of service robots, leading to an uneven well-being burden within the human service triad. This paper suggests a research agenda for investigation of the challenges that underpin the Robotic-Human Service Trilemma.

Through the conceptualisation of the Robotic-Human Service Trilemma, this study is the first to explore how states of well-being equilibrium exist within the human service triad and how these states are challenged by service robots. The authors present a balanced centricity perspective to well-being that contrasts previous trade-off approaches and that enhances the body of service robot literature with a well-being lens.

This study aims to identify the impact that Machiavellianism, narcissism and psychopathy tendencies have on avoidance and revenge-seeking after a service failure. The research examines the role that negative affect and desire for revenge play in aggressive behaviors by consumers.

The study uses a survey research methodology. The measurement model is validated using CFA, and hypotheses are tested using structural equation modeling. The mediated and serially mediated relationships are calculated using the bootstrap method by creating estimands to test the effects.

Machiavellianism is less likely to drive avoidance and negative affect, reducing desire for revenge, negative word of mouth and vindictive complaining. Those with narcissism tendencies are likely to develop a negative affect and a corresponding desire for revenge after the failure only if negative affect is developed. Consumers who exhibit psychopathy tendencies are likely to seek out revenge directly.

Each Dark Triad tendency influences consumer avoidance and revenge-seeking in different ways when a consumer’s goals are impeded. Companies can focus on service recoveries differently based on the types of tendencies of consumers engaging in avoidance and revenge-seeking.

The individual paths from Machiavellianism, narcissism and psychopathy tendencies to avoidance and revenge-seeking are developed and analyzed. Further distinctions between each Dark Triad tendency aids service providers in addressing and preparing for these consumer behaviors.

This study tries to investigate and examine the extent of power dynamics of diverse actors in supply chains (SCs) in affecting the (un)stable connections within the logistics service providers (LSPs) triad in manufacturing firms (MFs) in Australia as a developed country.

This study adopted a qualitative research approach by conducting 28 face-to-face semi-structured interviews, which was performed over a five-month period, between May and October 2022 with the targeted respondents via several Case MFs studies focusing on the triadic SC relationships through the power dynamics of LSPs (e.g. Case 1/MF-A, Case 2/MF-B, Case 3/MF-C, Case 4/MF-D and Case 5/MF-E) in order to gather primary data from the perspectives of logistics service clients, providers and suppliers that are dealing with MFs in Australia country. Interviewees were selected based on their knowledge, professional, expertise and tasks that are related to the study context if they are from MFs and/or LSPs. The researchers performed NVivo 12 Software as a tool for analyzing the collected primary data from the targeted interviewees, thus using a purposive sampling approach. This study constitutes a cornerstone for a conceptual exploration of the field of B2B and as it expands existing fields of broadcasting and investigation that focus on B2C within the manufacturing firms' context.

The findings clearly show the importance of stable purchase volume and resource ability for a focal company in the logistics triad. This leads it to have a strong long-term relationship through monitoring its partners and curbing evolutions in different dyads.

Identifying influential factors offers complementary insights to practitioners for depicting the SC relationship dynamics using the dominant power used by logistics service providers. Such findings encourage investigating an issues in emerging countries.

The study provides an extending novel piece of work on how to establish the relational embeddedness of two dyads through the power dynamics of the dominant player represented by LSPs that can significantly affect the triadic SC relationships in manufacturing firms (MFs). Such a perspective seems not to be similar to the classical standpoint in the SCM literature, in which the LSPs as a dominant and dynamic power derived from bridging the customer-supplier sustainable dyads relationship in the MFs context.

This study aims to determine website quality, young adult socialization and dark triad personality as the factors influencing the real estate purchase decision. In addition, this study also measures the mediating effects of young adult socialization on real estate purchase buying behavior.

Related literature, quantifiable variables with a five-point Likert scale, hypothesis testing and mediators are used to study the model. A systematic questionnaire that was divided into four sections was used. A total of 336 valid responses were collected and analyzed through a structural equation model.

The results suggest that dark triad personality and young adult socialization considerably affect real estate purchase decisions. The development proves website quality does not significantly impact real estate purchase behavior.

This study is limited to a few young consumers’ responses. Future studies could be more widespread globally and should include more variables and offline methods of purchasing behavior.

As per the review of existing literature, this research is the first, to the best of the authors’ knowledge, to determine the factors affecting the real estate purchase decision with factors like website quality, dark triad personalities and young adult socialization involving it.

To this date, research on tensions has been carried out on business networks and value co-creation, with no studies exploring tensions within the marketing services context. This study aims to use the three tension categories proposed by Toth et al. (2018) and Pressey and Vanharanta (2006) to address this gap by identifying the tensions experienced in the market research agency (MRA), creative agency (CA) and client relationship, as well as the processes that increase or minimize these tensions.

A total of 25 in-depth interviews were carried out with MRA, CA and client employees. NVivo 12 was used to conduct a thematic analysis to identify the overarching processes that influenced tensions.

Six second-order codes were identified, designating processes that exacerbated or minimized each of the three tensions experienced. Two new processes were identified (“adopting governance processes” and “aspects of identity formation”) which have not been previously reported. An empirical framework was developed pinpointing processes that influenced each tension category, also highlighting complex interdependencies between behavioral, emotional and structural tensions.

This study presents the perspectives of all actors within the marketing services triad providing a more nuanced understanding of tensions at the triadic level, as previous literature predominantly focused either on dyads or on networks. Furthermore, this study highlights important interdependencies between tension categories, providing novel contributions, as well as directions for future research.